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Lead Data Engineer
Relativity
Salary
PLN 270k – PLN 406k
Work mode
Hybrid
What we're looking for
- Proven experience leading technical teams in data engineering or analytics-focused development
- Strong programming skills in SQL and Python
- Hands-on experience with ETL/ELT orchestration tools (Airflow/Prefect)
- Expertise in dbt for transformation workflows and analytics modeling
- Familiarity with Snowflake and/or Databricks for large-scale data processing
- Solid understanding of data modeling principles, incremental strategies, and schema design for analytics
- Knowledge of data quality frameworks, lineage tracking, and governance in multi-tenant environments
- Familiarity with CI/CD, automated testing, and infrastructure-as-code practices
- Strong communication and stakeholder management skills
- Ability to drive architectural decisions and mentor engineers
About the role
Relativity’s scale and breadth provide significant opportunities for rich data exploration and insights. Our data infrastructure ensures that vast datasets remain accessible, secure, and compliant, while enabling innovation across the organization. We are making substantial investments in data lake technology and distributed systems to support future growth and advanced analytics.
As a Tech/Team Lead for Data Engineering, you will combine deep technical expertise with leadership skills to guide a team in building and maintaining ETL/ELT pipelines, data models, and governance frameworks that power analytics and reporting. You will lead architectural decisions, mentor engineers, and ensure delivery of secure, reliable, and scalable data solutions. This role emphasizes technical leadership, collaboration, and operational excellence, while fostering a culture of innovation and continuous improvement.
Your Role in Action:
- Lead and mentor a team of data engineers, promoting collaboration, knowledge sharing, and professional growth.
- Drive architectural decisions for ETL/ELT pipelines, orchestration frameworks (Airflow/Prefect), and transformation layers (dbt).
- Oversee design and implementation of analytics-ready data models (dimensional schemas, SCD strategies, semantic layers).
- Ensure adherence to engineering best practices: clean code, modular design, CI/CD, automated testing, and code reviews.
- Collaborate with stakeholders to align technical solutions with business objectives and analytics needs.
- Champion governance, observability, and compliance frameworks across all data workflows.
- Manage performance tuning and cost optimization for Snowflake, Databricks, and related cloud data platforms.
- Facilitate architecture reviews and contribute to design decisions for scalable, fault-tolerant systems.
- Communicate effectively with leadership and cross-functional teams to provide updates, resolve blockers, and ensure timely delivery.
As a Tech/Team Lead for Data Engineering, you will combine deep technical expertise with leadership skills to guide a team in building and maintaining ETL/ELT pipelines, data models, and governance frameworks that power analytics and reporting. You will lead architectural decisions, mentor engineers, and ensure delivery of secure, reliable, and scalable data solutions. This role emphasizes technical leadership, collaboration, and operational excellence, while fostering a culture of innovation and continuous improvement.
Your Role in Action:
- Lead and mentor a team of data engineers, promoting collaboration, knowledge sharing, and professional growth.
- Drive architectural decisions for ETL/ELT pipelines, orchestration frameworks (Airflow/Prefect), and transformation layers (dbt).
- Oversee design and implementation of analytics-ready data models (dimensional schemas, SCD strategies, semantic layers).
- Ensure adherence to engineering best practices: clean code, modular design, CI/CD, automated testing, and code reviews.
- Collaborate with stakeholders to align technical solutions with business objectives and analytics needs.
- Champion governance, observability, and compliance frameworks across all data workflows.
- Manage performance tuning and cost optimization for Snowflake, Databricks, and related cloud data platforms.
- Facilitate architecture reviews and contribute to design decisions for scalable, fault-tolerant systems.
- Communicate effectively with leadership and cross-functional teams to provide updates, resolve blockers, and ensure timely delivery.
Compensation & benefits
Comprehensive health, dental, and vision plans
Parental leave for primary and secondary caregivers
Flexible work arrangements
Two, week-long company breaks per year
Additional time off
Long-term incentive program
Training investment program
About Relativity
Relativity’s scale and breadth provide significant opportunities for rich data exploration and insights. Our data infrastructure ensures that vast datasets remain accessible, secure, and compliant, while enabling innovation across the organization. We are making substantial investments in data lake technology and distributed systems to support future growth and advanced analytics.